Deep Learning & Computer Vision Developer

Smartly - New Heliopolis, Cairo

118
Applicants for
1 open position
32
Seen
23
Shortlisted
4
Rejected
Experience Needed:
More than 1 year
Career Level:
Entry Level
Job Type:
Full Time
Salary:
Confidential
Education Level:
Bachelor's Degree at least
Languages:
Arabic, English
Vacancies:
1 open position
About the Job

A new position in our company is available now. We have an exciting opportunity for our Perception team for a strong developer with exceptional research and development skills in computer vision and deep learning. The primary responsibility is to conduct research and development on advanced perception component.

Any developer with at least 1-year experience in developing computer vision and deep learning techniques is welcome on our board.

Responsibilities

  • Work hand-in-hand with all the key stakeholders and developers across the company contributing to computer vision and deep learning components.
  • Write maintainable, reusable code, leveraging test-driven principles to develop high-quality computer vision and deep learning modules.
Job Requirements
  • Good machine and deep learning mentality.
  • At least 1-year experience in working on computer vision applications.
  • Have experience in object detection and tracking tasks using deep learning techniques (.i.e YOLO)
  • Have experience in Scene Segmentation tasks.
  • Deep learning model optimizations to run over embedded platforms and on the cloud.
  • Good knowledge of deep learning techniques such as CNN, RNN, and GAN.
  • Good level experience in Python and/or C++.
  • Good level experience in at least one of TensorFlow or PyTorch.
  • Good level experience in delivering your modules to be served over APIs.
About this Company

Believing in the human capabilities as the main endeavor for any organization success, the company is founded by a selective group of IT engineers, who gain their experience through a combination of continuous learning and studying within the academic field, as well through... (More)

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